Evaluating Next-Generation Open-Source Software-Defined Load Balancers and SSL Off-Loaders For Cloud-Native Applications

This project assesses next-generation open-source software-defined load balancers based on their performance, scalability, and integration with modern webserver-native applications, specifically within Flask server environments. Solutions like HAProxy, NGINX, and Traefik are compared based on load-balancing efficiency, dynamic configuration capabilities, and scalability. It is a comparative analysis based on criteria such as ease of deployment, compatibility with cloud orchestration platforms like OpenStack [6], and the impact on application throughput, latency, and resource optimization [8]. Moreover, the research investigates how these load balancers integrate with existing network infrastructures to improve application performance, optimize resource usage, and make the overall system more efficient. The results aim to provide valuable insights into the most effective load-balancing solutions for webserver-native environments, so developers and systems architects can make the best possible choices for modern cloud-based applications.

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Publication Details

Published
2025-04-04
DOI
https://doi.org/10.1109/icaeca63854.2025.11012189
Primary Topic
Cloud Computing and Resource Management
Type
article
Field-Weighted Citation Impact
0.00
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article

Evaluating Next-Generation Open-Source Software-Defined Load Balancers and SSL Off-Loaders For Cloud-Native Applications

C. Jeganathan, J Bindhiya
Cloud Computing and Resource Management
article

Evaluating Next-Generation Open-Source Software-Defined Load Balancers and SSL Off-Loaders For Cloud-Native Applications

C. Jeganathan, J Bindhiya
article en

Abstract

This project assesses next-generation open-source software-defined load balancers based on their performance, scalability, and integration with modern webserver-native applications, specifically within Flask server environments. Solutions like HAProxy, NGINX, and Traefik are compared based on load-balancing efficiency, dynamic configuration capabilities, and scalability. It is a comparative analysis based on criteria such as ease of deployment, compatibility with cloud orchestration platforms like OpenStack [6], and the impact on application throughput, latency, and resource optimization [8]. Moreover, the research investigates how these load balancers integrate with existing network infrastructures to improve application performance, optimize resource usage, and make the overall system more efficient. The results aim to provide valuable insights into the most effective load-balancing solutions for webserver-native environments, so developers and systems architects can make the best possible choices for modern cloud-based applications.

Openalex Percentile: Top 81%
Cloud Computing and Resource Management
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